Senior Data Scientist

Haven; Dacorum; On-site; GBP 45,000 - 70,000; Full time

Benefits offered by this job

Holiday Buy Scheme

Annual bonus

20% discount on holidays

Comprehensive wellbeing support

Access to corporate box at the O2 Arena

Career pathways and learning opportunities

Job summary

Haven is searching for a skilled Data Scientist to join their team. This remote-first position involves building machine learning models and analytical solutions, contributing significantly to informed decision-making across the business. Collaboration with cross-functional teams is essential.

The ideal candidate will have a robust data science background, proficiency in Python and SQL, and approximately two years of relevant experience in the field.

Benefits include holiday discounts, wellness support, and a strong commitment to diversity and inclusion.

Qualifications

• Strong foundation in data science with hands-on experience in machine learning.
• Proficiency in Python, SQL, and data manipulation.
• Circa two years in data science or related role.

Responsibilities

• Develop and deploy machine learning models and analytical solutions.
• Make technical decisions on feature engineering and model selection.
• Resolve technical challenges during model development.

Skills

Machine learning techniques

Statistical analysis

Feature engineering

Model evaluation

Python

SQL

Data manipulation

Data quality governance

Job description

Data Scientist

UK Remote-First (Occasional travel to head office or park)

Annual salary + bonus and benefits

At Haven, data helps us create brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do.

What You’ll Be Doing

• Owning the end-to-end development and deployment of machine learning models and analytical solutions, from data exploration through to production.
• Making day-to-day technical decisions on feature engineering, model selection, analytical techniques and data requirements within agreed team standards.
• Resolving technical challenges during model development and deployment, seeking guidance from the Senior Data Scientist on complex or high-impact decisions.
• Delivering high-quality, reliable outputs that directly influence project success and provide clear, actionable value to stakeholders.

What We’d Like You To Bring

• A strong foundation in data science, including machine learning techniques, statistical analysis, feature engineering and model evaluation, with hands‑on experience building and deploying models.
• Proficiency in Python, SQL and data manipulation, alongside a solid understanding of data quality, governance and ethical considerations in analytics.
• Experience translating business problems into analytical solutions, with circa two years in data science, machine learning or a related analytical role.
• The ability to work collaboratively in cross‑functional teams, exercising ownership and independent judgement on day-to-day modelling while working under the technical guidance of a Senior Data Scientist.

Benefits

• Holiday Buy Scheme
• Annual bonus
• 20% discount on both Haven and Warner Hotels holiday for you, family and friends
• Generous discounts on Haven and Warner Hotels holidays for you, your family and friends
• Comprehensive wellbeing support
• Exclusive discounts with corporate partners
• Access to the Bourne Leisure corporate box at the O2 Arena, London
• Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees
• Enhanced family friendly policies and pay (eligibility criteria applied)

Diversity, Equity and Inclusion

We are committed to diversity, equity and inclusion. We encourage applications from all backgrounds, communities and industries and we are ready to discuss any reasonable adjustments or flexibility that you may require.